Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

MiniMax M2.5 vs NVIDIA: Nemotron Nano 9B V2 (free) benchmark

Name: MiniMax M2.5 vs NVIDIA: Nemotron Nano 9B V2 (free) AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares MiniMax M2.5 (MiniMax) and NVIDIA: Nemotron Nano 9B V2 (free) (nvidia) using the latest snapshots we have as of Aug 17, 2026. NVIDIA: Nemotron Nano 9B V2 (free) wins on output price at $0/1M. MiniMax M2.5 has the larger context window (205k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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MiniMax

MiniMax M2.5

MiniMax coding model. Tied near the top of official SWE-bench bash-only in Feb 2026.

Elo 1,478$0.8999999999999999/1M out

nvidia

NVIDIA: Nemotron Nano 9B V2 (free)

Auto-discovered from OpenRouter (nvidia/nemotron-nano-9b-v2:free). Preview until a second source matches.

$0/1M out

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Model B

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Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

MiniMax M2.5 (8)vsNVIDIA: Nemotron Nano 9B V2 (free) (2)

MiniMax M2.5: 8W (80%)Overall: MiniMax M2.5NVIDIA: Nemotron Nano 9B V2 (free): 2W (20%)

← MiniMax M2.5NVIDIA: Nemotron Nano 9B V2 (free) →

MiniMax M2.5 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,478vs—

Coding Elo

1,536vs—

SWE-bench

75.8%vs—

LiveBench

64.4%vs—

GPQA Diamond

76.2%vs—

MiniMax M2.5: 5WNVIDIA: Nemotron Nano 9B V2 (free): 0W

MiniMax M2.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

90 tok/svs—

Time to first token

250 msvs—

MiniMax M2.5: 2WNVIDIA: Nemotron Nano 9B V2 (free): 0W

NVIDIA: Nemotron Nano 9B V2 (free) (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.9/1Mvs$0/1M

Input price

$0.22/1Mvs$0/1M

Context window

205kvs128k

MiniMax M2.5: 1WNVIDIA: Nemotron Nano 9B V2 (free): 2W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageMiniMax M2.5 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

NVIDIA: Nemotron Nano 9B V2 (free)

$0.90/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,478

EloHigh is better

—

Code Elo

High is better

1,536

Code EloHigh is better

—

LiveBench

High is better

64.4%

LiveBenchHigh is better

—

SWE-bench

High is better

75.8%

SWE-benchHigh is better

—

GPQA

High is better

76.2%

GPQAHigh is better

—

TTFT

Low is better

250 ms

TTFTLow is better

—

Speed

High is better

90 tok/s

SpeedHigh is better

—

In $

Low is better

$0.22/1M

In $Low is better

$0/1M

Out $

Low is better

$0.9/1M

Out $Low is better

$0/1M

Context

High is better

+60%205k

ContextHigh is better

128k

Key Selection Recommendations

1
NVIDIA: Nemotron Nano 9B V2 (free):Pick NVIDIA: Nemotron Nano 9B V2 (free) when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatNVIDIA: Nemotron Nano 9B V2 (free)

Lower output list price ($0/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMiniMax M2.5

Larger window (205k).

Screenshots / visionNVIDIA: Nemotron Nano 9B V2 (free)

NVIDIA: Nemotron Nano 9B V2 (free) is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	NVIDIA: Nemotron Nano 9B V2 (free)	Lower output list price ($0/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	MiniMax M2.5	Larger window (205k).
Screenshots / vision	NVIDIA: Nemotron Nano 9B V2 (free)	NVIDIA: Nemotron Nano 9B V2 (free) is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchFeb 12, 2026

MiniMax M2.5: the Feb 2026 SWE-bench specialist still on the board

Tied near the top of official SWE-bench bash-only in Feb 2026. Coding lists should still see it.

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CompareLLM Matrix

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LIVE

MiniMax

MiniMax M2.5

Elo 1,478

LiveBench64.4%

SWE-bench75.8%

Speed90 tok/s

Output cost$0.9/1M

nvidia

NVIDIA: Nemotron Nano 9B V2 (free)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0/1M

Frequently Asked Questions

Which is better overall, MiniMax M2.5 or NVIDIA: Nemotron Nano 9B V2 (free)?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, MiniMax M2.5 or NVIDIA: Nemotron Nano 9B V2 (free)?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: NVIDIA: Nemotron Nano 9B V2 (free) output tokens are $0/1M versus $0.9/1M. Input prices and retry rates still move the real bill.
Which is faster, MiniMax M2.5 or NVIDIA: Nemotron Nano 9B V2 (free)?: We do not have TTFT for both models.
Which has the larger context window?: MiniMax M2.5 accepts 205k tokens versus 128k.
Can I self-host either model?: MiniMax M2.5 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. MiniMax M2.5 and NVIDIA: Nemotron Nano 9B V2 (free) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All MiniMax M2.5 matchups →|All NVIDIA: Nemotron Nano 9B V2 (free) matchups →

Yi-Lightning vs MiniMax M2.5 Doubao Pro 1.5 vs MiniMax M2.5 Llama 4 Maverick vs MiniMax M2.5 Gemini 2.0 Flash Thinking vs MiniMax M2.5 DeepSeek V4 Flash vs MiniMax M2.5 GLM-5.2 vs MiniMax M2.5

MiniMax M2.5 vs NVIDIA: Nemotron Nano 9B V2 (free) benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

MiniMax M2.5 (8)vsNVIDIA: Nemotron Nano 9B V2 (free) (2)

MiniMax M2.5: 8W (80%)Overall: MiniMax M2.5NVIDIA: Nemotron Nano 9B V2 (free): 2W (20%)

← MiniMax M2.5NVIDIA: Nemotron Nano 9B V2 (free) →

MiniMax M2.5 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,478vs—

Coding Elo

1,536vs—

SWE-bench

75.8%vs—

LiveBench

64.4%vs—

GPQA Diamond

76.2%vs—

MiniMax M2.5: 5WNVIDIA: Nemotron Nano 9B V2 (free): 0W

MiniMax M2.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

90 tok/svs—

Time to first token

250 msvs—

MiniMax M2.5: 2WNVIDIA: Nemotron Nano 9B V2 (free): 0W

NVIDIA: Nemotron Nano 9B V2 (free) (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.9/1Mvs$0/1M

Input price

$0.22/1Mvs$0/1M

Context window

205kvs128k

MiniMax M2.5: 1WNVIDIA: Nemotron Nano 9B V2 (free): 2W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatNVIDIA: Nemotron Nano 9B V2 (free)

Lower output list price ($0/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMiniMax M2.5

Larger window (205k).

Screenshots / visionNVIDIA: Nemotron Nano 9B V2 (free)

NVIDIA: Nemotron Nano 9B V2 (free) is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	NVIDIA: Nemotron Nano 9B V2 (free)	Lower output list price ($0/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	MiniMax M2.5	Larger window (205k).
Screenshots / vision	NVIDIA: Nemotron Nano 9B V2 (free)	NVIDIA: Nemotron Nano 9B V2 (free) is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, MiniMax M2.5 or NVIDIA: Nemotron Nano 9B V2 (free)?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, MiniMax M2.5 or NVIDIA: Nemotron Nano 9B V2 (free)?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

NVIDIA: Nemotron Nano 9B V2 (free) output tokens are $0/1M versus $0.9/1M. Input prices and retry rates still move the real bill.

Which is faster, MiniMax M2.5 or NVIDIA: Nemotron Nano 9B V2 (free)?

We do not have TTFT for both models.

Which has the larger context window?

MiniMax M2.5 accepts 205k tokens versus 128k.

Can I self-host either model?

MiniMax M2.5 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. MiniMax M2.5 and NVIDIA: Nemotron Nano 9B V2 (free) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

NVIDIA: Nemotron Nano 9B V2 (free)

Full Benchmark Score Matrix

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

MiniMax M2.5: the Feb 2026 SWE-bench specialist still on the board

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

MiniMax M2.5

NVIDIA: Nemotron Nano 9B V2 (free)

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

NVIDIA: Nemotron Nano 9B V2 (free)

Full Benchmark Score Matrix

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

MiniMax M2.5: the Feb 2026 SWE-bench specialist still on the board

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

MiniMax M2.5

NVIDIA: Nemotron Nano 9B V2 (free)

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons